Hemodynamic evaluation of symptomatic and asymptomatic intracranial atherosclerotic stenosis using cerebral

Jiayan Li1, Lijun Wang1, Yongxin Zhang1

  • 1Neurovascular Center, Changhai Hospital, Shanghai, China.

Insights

Fractional flow (FF) assessed via non-invasive intracranial angiography (Angio-FF) can differentiate symptomatic and asymptomatic intracranial atherosclerotic stenosis (ICAS). Lower Angio-FF values indicate a higher risk of ischemic events in ICAS patients.

Area of Science:

  • Neurology
  • Cardiovascular Research
  • Medical Imaging

Background:

  • Intracranial atherosclerotic stenosis (ICAS) treatment decisions based solely on stenosis degree may be inadequate.
  • Novel non-invasive fractional flow (FF) calculation technique using intracranial angiography (Angio-FF) developed to assess ICAS hemodynamics.
  • Need for improved risk stratification in ICAS patients.

Purpose of the Study:

  • Investigate the difference in Angio-FF between symptomatic and asymptomatic ICAS patients.
  • Determine the optimal Angio-FF threshold for differentiating symptomatic from asymptomatic ICAS.
  • Evaluate Angio-FF's potential in predicting clinical symptoms and ischemic events.

Main Methods:

  • Recruited 124 patients with severe ICAS undergoing cerebral angiography.
  • Divided patients into symptomatic (n=78) and asymptomatic (n=46) groups based on symptom onset.
  • Collected and compared Angio-FF values; performed ROC analysis to assess discriminative ability.

Main Results:

  • Symptomatic ICAS group showed significantly lower Angio-FF (0.75) compared to asymptomatic group (0.85).
  • Optimal Angio-FF cut-off value for distinguishing symptomatic from asymptomatic ICAS was 0.785.
  • The cut-off achieved 71.74% sensitivity and 57.69% specificity.

Conclusions:

  • Angio-FF <0.7853 may indicate increased susceptibility to intracranial ischemic events.
  • Angio-FF of 0.7853 serves as a potential threshold for identifying clinical symptoms in ICAS patients.
  • Angio-FF offers a valuable non-invasive hemodynamic assessment for ICAS risk stratification.
Abstract

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